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An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

نوع: Journal Paper

نویسنده : Goharimanesh, Masoud, , Ali Akbar Akbari, and .

ناشر: Global Vision School Publication

سال: 2017

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An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

نوع: Journal Paper

نویسنده : Goharimanesh, Masoud, , Ali Akbar Akbari, and .

ناشر: Global Vision School Publication

سال: 2017

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A new robust optimization approach for integrated multi-echelon, multi-product, multi-period supply chain network design under process uncertainty

نوع: Journal Paper

نویسنده : Ali Akbar Akbari; Behrooz Karimi

سال: 2015

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Autonomous tool adjustment in robotic grinding

نوع: Journal Paper

نویسنده : Ali Akbar Akbari; Shizuichi Higuchi

ناشر: Elsevier Science

سال: 2002

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Optimum Machining Conditions for Mirror Polishing of Aluminum Alloy Using a Robo

نوع: Journal Paper

نویسنده : Ali Akbar AKBARI; Shizuichi HIGUCHI

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Optimum design of straight bevel gears pair using evolutionary algorithms

نوع: Journal Paper

نویسنده : Abolfazl Zolfaghari; Masoud Goharimanesh; Ali Akbar Akbari

سال: 2017

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Online bio-inspired trajectory generation of seven-link biped robot based on T–S fuzzy system

نوع: Journal Paper

نویسنده : Yadollah Farzaneh; Alireza Akbarzadeh; Ali Akbar Akbari

سال: 2014

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Yaw Moment Control Using Fuzzy Reinforcement Learning

نوع: Conference Paper

نویسنده : علی اکبر اکبری; Ali Akbar Akbari

سال: 2014

Trajectory generation and control of a knee exoskeleton based on dynamic movement primitives for sit-to-stand assistance

نوع: Journal Paper

نویسنده : Kaveh Kamali; Ali Akbar Akbari; Alireza Akbarzadeh

سال: 2016

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Grouping evolution strategies: An effective approach for grouping problems

نوع: Journal Paper

نویسنده : Ali Husseinzadeh Kashan; Ali Akbar Akbari; Bakhtiar Ostadi

سال: 2015

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An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

A new robust optimization approach for integrated multi-echelon, multi-product, multi-period supply chain network design under process uncertainty

Autonomous tool adjustment in robotic grinding

Optimum Machining Conditions for Mirror Polishing of Aluminum Alloy Using a Robo

Optimum design of straight bevel gears pair using evolutionary algorithms

Online bio-inspired trajectory generation of seven-link biped robot based on T–S fuzzy system

Yaw Moment Control Using Fuzzy Reinforcement Learning

Trajectory generation and control of a knee exoskeleton based on dynamic movement primitives for sit-to-stand assistance

Grouping evolution strategies: An effective approach for grouping problems

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An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

An Intelligent Strategy Based on Fuzzy Reinforcement Learning for Backing Truck up

A new robust optimization approach for integrated multi-echelon, multi-product, multi-period supply chain network design under process uncertainty

Autonomous tool adjustment in robotic grinding

Optimum Machining Conditions for Mirror Polishing of Aluminum Alloy Using a Robo

Optimum design of straight bevel gears pair using evolutionary algorithms

Online bio-inspired trajectory generation of seven-link biped robot based on T–S fuzzy system

Yaw Moment Control Using Fuzzy Reinforcement Learning

Trajectory generation and control of a knee exoskeleton based on dynamic movement primitives for sit-to-stand assistance

Grouping evolution strategies: An effective approach for grouping problems